Audio-Visual Person Tracking A Practical Approach

Name: Audio-Visual Person Tracking A Practical Approach
Price: 14.1 USD
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ISBN: 9781848165816

ISBN-10: 1848165811

ISBN-13: 9781848165816

Edition: 2011

Authors: Fotios Talantzis, Aristodemos Pnevmatikakis, Anthony G. Constantinides

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Description:

This title deals with the creation of the algorithm backbone that enables a computer to perceive humans in a monitored space, by processing the signals that humans use in order to perform a task.

Book details

List price: $85.00
Copyright year: 2011
Publisher: World Scientific Publishing Co Pte Ltd
Publication date: 5/31/2011
Binding: Hardcover
Pages: 240
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.232
Language: English



Preface


Acknowledgments


List of Figures


List of Tables



Introduction



Person tracking



Why person tracking?



Person tracking challenges



Book organisation



Tracking Algorithms



Introduction



Tracking



Deterministic tracking



Stochastic trackers



Recursive Bayesian filtering



Kalman filter



Particle filter



Particle filter trackers



Object models



Object model for proposal distribution



Degeneracy of SIS particle filter



Optimum proposal distributions



Resampling



Sequential Importance Resampling particle filter



Conclusions



Audio Tracking



Introduction



Multiple audio sensors



System model



The image model



Microphone arrays and then geometries



Audio trackers



Linear intersection



Particle filtering



Multiple speakers



Detection in audio



Time delay estimation



Beamforming



Voice activity detection



System parameters



Performance measures



Simulations



Visual Tracking



Introduction



From 3D world to 2D images



3D imaging



Measurements in images



Colour matching



Colour without spatial information



Colour with spatial information



Outline matching



Clutter attenuation by edge orientation



View changes handling by modelling in 3D



Moving objects



Frame-by-frame difference



Adaptive background estimation



Motion likelihood



Face detection



Viola-Jones face detector



Face validation



Face likelihood



Visual tracking systems



Deterministic tracking



Template matching



Mean-Shift



Stochastic tracking



Kalman filter



Colour-based particle filter face tracker



Measurement-assisted proposal distribution



Particle filter face tracker with colour-assisted proposal distribution



Particle filter face tracker using face likelihood



Conclusions



Multimodal Tracking



Introduction



Likelihood combination



Multiplying face and colour likelihoods



Tracker output combination



Deterministic fusion of independent trackers



Kalman fusion of independent audio and visual trackers



Partitioned sampling



Joint multi-cue face tracker employing partitioned sampling



Joint audio and visual tracker employing partitioned sampling



Sensor synchronisation



Conclusions



Applications



Smart Spaces



The Smart Home



The Smart Office



Video-conferencing



Entertainment



Personalised media broadcasting



Security and surveillance



Robotics



Marketing and retail



Conclusions


Bibliography


Index